AN IMPLEMENTATION OF SVM CLASSIFIER FOR BACTERIAL BLIGHT IDENTIFICATION
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 11, Pages 5586-5595
AbstractThe image Classification is the process of finding and grouping the correlated pixels in the particular image. There are different types are available find the correlated pixels in the image. In this paper, the Support Vector machine is used for Classification to identify the bacterial blight disease in a paddy leaf image. At first, the input samples are converted into Gray scale images, after that those images are processed by Support Vector machine to produce the classified image output. The Support Vector machine based on the grouping of similar pixels and the allotment of the center pixels. By repeating the same process several times, then the output classified image will have excellent object classifications. Out of several algorithm for image Classification, the Support Vector machine classification will provide good results. The objects classification is purely based on the correlation of pixels available in the image. After processing, the image reshaping also performed for better visualisation of the classified image.
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